Evaluating the Accuracy of Stochastic Geometry Based Models for LEO Satellite Networks Analysis

Ruibo Wang; Mustafa A. Kishk; Mohamed-Slim Alouini

doi:10.1109/LCOMM.2022.3194210

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Evaluating the Accuracy of Stochastic Geometry Based Models for LEO Satellite Networks Analysis

Journal article

Peer reviewed

Evaluating the Accuracy of Stochastic Geometry Based Models for LEO Satellite Networks Analysis

Ruibo Wang, Mustafa A. Kishk and Mohamed-Slim Alouini

IEEE communications letters, Vol.26(10), pp.1-1

01/10/2022

DOI: https://doi.org/10.1109/LCOMM.2022.3194210

Abstract

Analytical models

distribution

Geometry

homogeneous BPP

LEO satellite

Low earth orbit satellites

Optimized production technology

Orbits

Satellites

Stochastic geometry

Stochastic processes

This paper investigates the accuracy of recently proposed stochastic geometry-based modeling of low earth orbit (LEO) satellite networks. In particular, we use the Wasserstein Distance-inspired method to analyze the distances between different models, including Fibonacci lattice and orbit models. We propose an algorithm to calculate the distance between the generated point sets. Next, we test the algorithm's performance and analyze the distance between the stochastic geometry model and other more widely acceptable models using numerical results.

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Title: Evaluating the Accuracy of Stochastic Geometry Based Models for LEO Satellite Networks Analysis
Creators - without role: Ruibo Wang - King Abdullah University of Science and Technology
Mustafa A. Kishk - National University of Ireland, Maynooth
Mohamed-Slim Alouini - King Abdullah University of Science and Technology
Publication Details: IEEE communications letters, Vol.26(10), pp.1-1
Publisher: IEEE
Grant note: King Abdullah University of Science and Technology (10.13039/501100004052)
Identifiers: 9942981208331
Academic Unit: King Abdullah University of Science & Technology
Language: English
Resource Type: Journal article